Sohyun An

Sohyun An

CS Ph.D. student at UCLA

UCLA CS

Biography

I’m a Ph.D. student in the Computational Machine Learning Group at UCLA, under the supervision of Prof. Cho-Jui Hsieh. Previously, I was an M.S. student in the Machine Learning and Artificial Intelligence (MLAI) Lab at KAIST AI, supervised by Prof. Sung Ju Hwang.

I am passionate about democratizing AI by removing barriers of computation, data, expertise, and representation. My research spans efficient model design, automated prompt optimization, and reducing representation gaps across linguistic variations, producing methods that reduce costs, work in label-scarce settings, and deliver consistent performance for all users. Ultimately, I aim to make advanced AI universally accessible and adaptable to each individualโ€™s unique needs.

Interests
  • Generative Models / (M)LLMs
  • Optimization & Search Algorithm
  • AutoML / Meta-learning
Education
  • PhD in Computer Science, Sep 2024 - Present

    University of California, Los Angeles (UCLA)

  • MS in Artificial Intelligence, Aug 2022 - Aug 2024

    Korea Advanced Institute of Science and Technology (KAIST)

  • BS in Material Science and Engineering (Summa Cum Laude), Mar 2017 - Aug 2021

    Seoul National University (SNU)

Publications

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(2025). DialectGen: Benchmarking and Improving Dialect Robustness in Multimodal Generation. Under Review.

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(2025). Unlabeled Data Improves Fine-Grained Image Zero-shot Classification with Multimodal LLMs. Under Review.

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(2025). Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models. Under Review.

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(2024). One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts. ICML 2024.

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Experience

 
 
 
 
 
Research Scientist Intern
June 2025 โ€“ September 2025 Menlo Park, CA
 
 
 
 
 
Research Intern
April 2022 โ€“ August 2022 South Korea
 
 
 
 
 
Full-time Engineer
August 2021 โ€“ March 2022 South Korea
 
 
 
 
 
Undergraduate Student Researcher
January 2020 โ€“ September 2020 South Korea
 
 
 
 
 
Engineer Intern
June 2019 โ€“ August 2019 South Korea

TA Experience

 
 
 
 
 
SNS TA
September 2023 โ€“ December 2023 South Korea
 
 
 
 
 
TA for AI618 Generative Model and Unsupervised Learning
March 2023 โ€“ June 2023 South Korea

Contact